{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ca6bdf5b-80bc-4285-9cde-fc5641e23742",
   "metadata": {},
   "source": [
    "Copyright (c) MONAI Consortium<br>\n",
    "Licensed under the Apache License, Version 2.0 (the \"License\");<br>\n",
    "you may not use this file except in compliance with the License.<br>\n",
    "You may obtain a copy of the License at<br>\n",
    "    http://www.apache.org/licenses/LICENSE-2.0<br>\n",
    "Unless required by applicable law or agreed to in writing, software<br>\n",
    "distributed under the License is distributed on an \"AS IS\" BASIS,<br>\n",
    "WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.<br>\n",
    "See the License for the specific language governing permissions and<br>\n",
    "limitations under the License.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eca65c39",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "source": [
    "# 3D AutoencoderKL\n",
    "\n",
    "This demo is a toy example of how to use MONAI's AutoencoderKL. In particular, it uses the Autoencoder with a Kullback-Leibler regularisation as implemented by Rombach et. al [1]. The autoencoder was originally implemented by Kingma et al. [2]. The model uses the 3D brain tumour segmentation challenge (BraTS) [3] dataset available as part of the Decathlon Dataset.\n",
    "\n",
    "[1] Rombach et. al \"High-Resolution Image Synthesis with Latent Diffusion Models\" https://arxiv.org/pdf/2112.10752.pdf<br>\n",
    "[2] Kingma, D. P., & Welling, M. (2014). Auto-Encoding Variational Bayes. CoRR, abs/1312.6.<br>\n",
    "[3] Menze, B. H., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., Kirby, J., Burren, Y., Porz, N., Slotboom, J., Wiest, R., Lanczi, L., Gerstner, E., Weber, M.-A., Arbel, T., Avants, B. B., Ayache, N., Buendia, P., Collins, D. L., Cordier, N., … van Leemput, K. (2015). The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Transactions on Medical Imaging, 34(10), 1993–2024. https://doi.org/10.1109/TMI.2014.2377694<br>\n",
    "\n",
    "This tutorial was based on:\n",
    "\n",
    "[Brain tumor 3D segmentation with MONAI](https://github.com/Project-MONAI/tutorials/blob/main/3d_segmentation/brats_segmentation_3d.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e0fa3de-eadc-41cf-aebc-a2ceb0399ab7",
   "metadata": {},
   "source": [
    "## Setup environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0f82c364",
   "metadata": {},
   "outputs": [],
   "source": [
    "!python -c \"import monai\" || pip install -q \"monai-weekly[tqdm, nibabel]\"\n",
    "!python -c \"import matplotlib\" || pip install -q matplotlib\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7325d9ae",
   "metadata": {},
   "source": [
    "## Setup imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a44e7a6e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import shutil\n",
    "import tempfile\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import torch\n",
    "import torch.nn.functional as F\n",
    "from monai import transforms\n",
    "from monai.apps import DecathlonDataset\n",
    "from monai.config import print_config\n",
    "from monai.data import DataLoader\n",
    "from monai.networks.layers import Act\n",
    "from monai.utils import first, set_determinism\n",
    "from torch.amp import autocast\n",
    "from monai.networks.nets import AutoencoderKL, PatchDiscriminator\n",
    "from monai.losses import PatchAdversarialLoss, PerceptualLoss\n",
    "from monai.utils.misc import ensure_tuple\n",
    "\n",
    "print_config()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72bae2d5",
   "metadata": {},
   "source": [
    "## Setup a data directory and download dataset\n",
    "\n",
    "Specify a `MONAI_DATA_DIRECTORY` variable, where the data will be downloaded. If not specified a temporary directory will be used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "48155dfa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/tmp/tmp0_29f8jr\n"
     ]
    }
   ],
   "source": [
    "directory = os.environ.get(\"MONAI_DATA_DIRECTORY\")\n",
    "root_dir = tempfile.mkdtemp() if directory is None else directory\n",
    "print(root_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f83013c7-8f1d-4bc2-9677-9912642e00f7",
   "metadata": {},
   "source": [
    "## Set deterministic training for reproducibility"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1aaa77a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# for reproducibility purposes set a seed\n",
    "set_determinism(42)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "319bff04",
   "metadata": {},
   "source": [
    "## Description of data, download the training set and creation of dataloaders"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "053fdee1",
   "metadata": {},
   "source": [
    "The brain tumour segmentation dataset is available as part of the Decathlon dataset. Select the channel (MRI contrast) you wish to use for training (0: FLAIR, 1: T1, 2: T1-PC, 3: T2). \n",
    "Note: The DecatholonDataset has 7GB. So make sure that you have enought space when running the next line"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9774010c-cc3e-49d8-9244-0dfe1b85fe1f",
   "metadata": {},
   "source": [
    "We use the following transforms:\n",
    "1. `LoadImaged`: retrieve the nii image\n",
    "2. `EnsureChannelFirstd`: we ensure that the channel component is in dimension 0 of the tensor\n",
    "3. `Lambdad`: this custom transform retrieves the specific channel that we desire\n",
    "4. `EnsureChannelFirstd`: we add the new channel dimension (as the last transform has removed it)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1dbaf6af",
   "metadata": {},
   "outputs": [],
   "source": [
    "channel = 0  # 0 = Flair\n",
    "assert channel in [0, 1, 2, 3], \"Choose a valid channel\"\n",
    "all_transforms = [\n",
    "    transforms.LoadImaged(keys=[\"image\"]),\n",
    "    transforms.EnsureChannelFirstd(keys=[\"image\"]),\n",
    "    transforms.Lambdad(keys=\"image\", func=lambda x: x[channel, :, :, :]),\n",
    "    transforms.EnsureChannelFirstd(keys=[\"image\"], channel_dim=\"no_channel\"),\n",
    "    transforms.EnsureTyped(keys=[\"image\"]),\n",
    "    transforms.Orientationd(keys=[\"image\"], axcodes=\"RAS\"),\n",
    "    transforms.Spacingd(keys=[\"image\"], pixdim=(2.4, 2.4, 2.2), mode=(\"bilinear\")),\n",
    "    transforms.CenterSpatialCropd(keys=[\"image\"], roi_size=(96, 96, 64)),\n",
    "    transforms.ScaleIntensityRangePercentilesd(keys=\"image\", lower=0, upper=99.5, b_min=0, b_max=1),\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ac41ad56-1c09-4e17-aba4-7f00e1894ff9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading dataset: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 388/388 [01:51<00:00,  3.47it/s]\n",
      "Loading dataset: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 96/96 [00:27<00:00,  3.47it/s]\n"
     ]
    }
   ],
   "source": [
    "# Training\n",
    "train_ds = DecathlonDataset(\n",
    "    root_dir=root_dir,\n",
    "    task=\"Task01_BrainTumour\",\n",
    "    section=\"training\",\n",
    "    cache_rate=1.0,  # you may need a few Gb of RAM... Set to 0 otherwise\n",
    "    num_workers=4,\n",
    "    download=True,\n",
    "    seed=0,\n",
    "    transform=transforms.Compose(all_transforms),\n",
    ")\n",
    "# Validation\n",
    "val_ds = DecathlonDataset(\n",
    "    root_dir=root_dir,\n",
    "    task=\"Task01_BrainTumour\",\n",
    "    section=\"validation\",\n",
    "    cache_rate=1.0,  # you may need a few Gb of RAM... Set to 0 otherwise\n",
    "    num_workers=4,\n",
    "    download=True,\n",
    "    seed=0,\n",
    "    transform=transforms.Compose(all_transforms),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eef45a74-aca0-4897-b1e9-185ef288812a",
   "metadata": {},
   "source": [
    "Now we create the training and validation loaders:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "aa5875c0-a150-4561-876b-2a0233bc683b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Image shape torch.Size([1, 96, 96, 64])\n",
      "Image shape torch.Size([1, 96, 96, 64])\n"
     ]
    }
   ],
   "source": [
    "train_loader = DataLoader(train_ds, batch_size=1, shuffle=True, num_workers=1, persistent_workers=True)\n",
    "print(f'Image shape {train_ds[0][\"image\"].shape}')\n",
    "val_loader = DataLoader(val_ds, batch_size=1, shuffle=False, num_workers=1, persistent_workers=True)\n",
    "print(f'Image shape {val_ds[0][\"image\"].shape}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "617a46a9",
   "metadata": {},
   "source": [
    "## Visualise examples from the training set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8902c0a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f4956610460>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "check_data = first(train_loader)\n",
    "# Select the first image from the batch\n",
    "img = check_data[\"image\"][0]\n",
    "fig, axs = plt.subplots(nrows=1, ncols=3)\n",
    "for ax in axs:\n",
    "    ax.axis(\"off\")\n",
    "ax = axs[0]\n",
    "ax.imshow(img[0, ..., img.shape[3] // 2].rot90(), cmap=\"gray\")\n",
    "ax = axs[1]\n",
    "ax.imshow(img[0, :, img.shape[2] // 2, ...].rot90(), cmap=\"gray\")\n",
    "ax = axs[2]\n",
    "ax.imshow(img[0, img.shape[1] // 2, ...].rot90(), cmap=\"gray\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19532ecb",
   "metadata": {},
   "source": [
    "## Define the network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0a839bfa-a494-4500-9cd0-7c6205be164c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using cuda\n"
     ]
    }
   ],
   "source": [
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "print(f\"Using {device}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5e0514e5",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [],
   "source": [
    "model = AutoencoderKL(\n",
    "    spatial_dims=3,\n",
    "    in_channels=1,\n",
    "    out_channels=1,\n",
    "    channels=(32, 64, 64),\n",
    "    latent_channels=3,\n",
    "    num_res_blocks=1,\n",
    "    norm_num_groups=32,\n",
    "    attention_levels=(False, False, True),\n",
    ")\n",
    "model.to(device)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "feac8b4f-a0b9-47e6-b8dd-6e83da1e8f04",
   "metadata": {},
   "source": [
    "Rombach et al. [1] trained the AutoencoderKL using a patch-GAN adversarial loss and perceptual loss to boost the quality of the reconstructed images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c4ebda38-603c-440c-87bb-ff88198b424f",
   "metadata": {},
   "outputs": [],
   "source": [
    "discriminator = PatchDiscriminator(\n",
    "    spatial_dims=3,\n",
    "    num_layers_d=3,\n",
    "    channels=32,\n",
    "    in_channels=1,\n",
    "    out_channels=1,\n",
    "    kernel_size=4,\n",
    "    activation=(Act.LEAKYRELU, {\"negative_slope\": 0.2}),\n",
    "    norm=\"BATCH\",\n",
    "    bias=False,\n",
    "    padding=1,\n",
    ")\n",
    "discriminator.to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "da14911d",
   "metadata": {},
   "outputs": [],
   "source": [
    "perceptual_loss = PerceptualLoss(spatial_dims=3, network_type=\"squeeze\", fake_3d_ratio=0.25)\n",
    "perceptual_loss.to(device)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ded7dc3f-56e0-402d-8ce0-d77ea6205f20",
   "metadata": {},
   "source": [
    "## Definition of losses and optimisers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "aa53b342-aeec-4817-8797-adf7b7080ea7",
   "metadata": {},
   "outputs": [],
   "source": [
    "adv_loss = PatchAdversarialLoss(criterion=\"least_squares\")\n",
    "adv_weight = 0.02\n",
    "perceptual_weight = 1.0\n",
    "optimizer_g = torch.optim.Adam(model.parameters(), 1e-4)\n",
    "optimizer_d = torch.optim.Adam(discriminator.parameters(), lr=5e-4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b33436df-be7d-4e1a-ba34-0df8a8105b8b",
   "metadata": {},
   "source": [
    "We also use automated mixed precision (AMP) to save memory:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5c0b87e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler_g = torch.amp.GradScaler(\"cuda\")\n",
    "scaler_d = torch.amp.GradScaler(\"cuda\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d19616e",
   "metadata": {},
   "source": [
    "## Model training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "aa98bfa9",
   "metadata": {
    "lines_to_next_cell": 0
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 0/50:recons loss: 0.028408, gen_loss: 0.899995, disc_loss: 0.068511, perc_loss: 0.047966, kl_loss: 84008.107885, \n",
      "epoch 4/50: validation recons loss: 0.029058\n",
      "epoch 5/50:recons loss: 0.026289, gen_loss: 0.890100, disc_loss: 0.075222, perc_loss: 0.044404, kl_loss: 82538.794358, \n",
      "epoch 9/50: validation recons loss: 0.031279\n",
      "epoch 10/50:recons loss: 0.025868, gen_loss: 0.897919, disc_loss: 0.067960, perc_loss: 0.043630, kl_loss: 81820.101361, \n",
      "epoch 14/50: validation recons loss: 0.023571\n",
      "epoch 15/50:recons loss: 0.027377, gen_loss: 0.953108, disc_loss: 0.047639, perc_loss: 0.044497, kl_loss: 80916.426989, \n",
      "epoch 19/50: validation recons loss: 0.026467\n",
      "epoch 20/50:recons loss: 0.025950, gen_loss: 0.983597, disc_loss: 0.041265, perc_loss: 0.041636, kl_loss: 80244.706749, \n",
      "epoch 24/50: validation recons loss: 0.027087\n",
      "epoch 25/50:recons loss: 0.024513, gen_loss: 1.003783, disc_loss: 0.033110, perc_loss: 0.040052, kl_loss: 81447.181137, \n",
      "epoch 29/50: validation recons loss: 0.027916\n",
      "epoch 30/50:recons loss: 0.024828, gen_loss: 1.052075, disc_loss: 0.010955, perc_loss: 0.038624, kl_loss: 79766.662814, \n",
      "epoch 34/50: validation recons loss: 0.033613\n",
      "epoch 35/50:recons loss: 0.025590, gen_loss: 0.984481, disc_loss: 0.034665, perc_loss: 0.040138, kl_loss: 81379.091817, \n",
      "epoch 39/50: validation recons loss: 0.025075\n",
      "epoch 40/50:recons loss: 0.024524, gen_loss: 0.956906, disc_loss: 0.044816, perc_loss: 0.039182, kl_loss: 78912.705622, \n",
      "epoch 44/50: validation recons loss: 0.022967\n",
      "epoch 45/50:recons loss: 0.025341, gen_loss: 1.032001, disc_loss: 0.021897, perc_loss: 0.040327, kl_loss: 78940.488946, \n",
      "epoch 49/50: validation recons loss: 0.021878\n",
      "Training finished\n"
     ]
    }
   ],
   "source": [
    "kl_weight = 1e-8\n",
    "max_epochs = 50\n",
    "val_interval = 5\n",
    "print_every = 5\n",
    "epoch_recon_loss_list = []\n",
    "epoch_gen_loss_list = []\n",
    "epoch_disc_loss_list = []\n",
    "epoch_perc_loss_list = []\n",
    "epoch_kl_loss_list = []\n",
    "val_recon_epoch_loss_list = []\n",
    "intermediary_images = []\n",
    "n_example_images = 4\n",
    "\n",
    "for epoch in range(max_epochs):\n",
    "    model.train()\n",
    "    discriminator.train()\n",
    "    epoch_loss = 0\n",
    "    gen_epoch_loss = 0\n",
    "    disc_epoch_loss = 0\n",
    "    kl_epoch_loss = 0\n",
    "    perc_epoch_loss = 0\n",
    "    for batch in train_loader:\n",
    "        images = batch[\"image\"].to(device)\n",
    "        optimizer_g.zero_grad(set_to_none=True)\n",
    "\n",
    "        # Generator part\n",
    "        with autocast(\"cuda\", enabled=True):\n",
    "            reconstruction, z_mu, z_sigma = model(images)\n",
    "            logits_fake = discriminator(reconstruction.contiguous().float())[-1]\n",
    "\n",
    "            recons_loss = F.l1_loss(reconstruction.float(), images.float())\n",
    "            p_loss = perceptual_loss(reconstruction.float(), images.float())\n",
    "            generator_loss = adv_loss(logits_fake, target_is_real=True, for_discriminator=False)\n",
    "\n",
    "            kl_loss = 0.5 * torch.sum(z_mu.pow(2) + z_sigma.pow(2) - torch.log(z_sigma.pow(2)) - 1, dim=[1, 2, 3, 4])\n",
    "            kl_loss = torch.sum(kl_loss) / kl_loss.shape[0]\n",
    "\n",
    "            loss_g = recons_loss + (kl_weight * kl_loss) + (perceptual_weight * p_loss) + (adv_weight * generator_loss)\n",
    "\n",
    "        scaler_g.scale(loss_g).backward()\n",
    "        scaler_g.step(optimizer_g)\n",
    "        scaler_g.update()\n",
    "\n",
    "        # Discriminator part\n",
    "        optimizer_d.zero_grad(set_to_none=True)\n",
    "\n",
    "        with autocast(\"cuda\", enabled=True):\n",
    "            logits_fake = discriminator(reconstruction.contiguous().detach())[-1]\n",
    "            loss_d_fake = adv_loss(logits_fake, target_is_real=False, for_discriminator=True)\n",
    "            logits_real = discriminator(images.contiguous().detach())[-1]\n",
    "            loss_d_real = adv_loss(logits_real, target_is_real=True, for_discriminator=True)\n",
    "            discriminator_loss = (loss_d_fake + loss_d_real) * 0.5\n",
    "\n",
    "            loss_d = adv_weight * discriminator_loss\n",
    "\n",
    "        scaler_d.scale(loss_d).backward()\n",
    "        scaler_d.step(optimizer_d)\n",
    "        scaler_d.update()\n",
    "\n",
    "        epoch_loss += recons_loss.item()\n",
    "        gen_epoch_loss += generator_loss.item()\n",
    "        disc_epoch_loss += discriminator_loss.item()\n",
    "        perc_epoch_loss += p_loss.item()\n",
    "        kl_epoch_loss += kl_loss.item()\n",
    "\n",
    "    epoch_recon_loss_list.append(epoch_loss / len(train_loader))\n",
    "    epoch_gen_loss_list.append(gen_epoch_loss / len(train_loader))\n",
    "    epoch_disc_loss_list.append(disc_epoch_loss / len(train_loader))\n",
    "    epoch_perc_loss_list.append(perc_epoch_loss / len(train_loader))\n",
    "    epoch_kl_loss_list.append(kl_epoch_loss / len(train_loader))\n",
    "\n",
    "    if epoch % print_every == 0:\n",
    "        msgs = [\n",
    "            f\"epoch {epoch:d}/{max_epochs:d}:\",\n",
    "            f\"recons loss: {epoch_recon_loss_list[-1]:4f}, \",\n",
    "            f\"gen_loss: {epoch_gen_loss_list[-1]:4f}, \",\n",
    "            f\"disc_loss: {epoch_disc_loss_list[-1]:4f}, \",\n",
    "            f\"perc_loss: {epoch_perc_loss_list[-1]:4f}, \",\n",
    "            f\"kl_loss: {epoch_kl_loss_list[-1]:4f}, \",\n",
    "        ]\n",
    "        print(\"\".join(msgs))\n",
    "\n",
    "    if (epoch + 1) % val_interval == 0:\n",
    "        model.eval()\n",
    "        val_loss = 0\n",
    "        with torch.no_grad():\n",
    "            for val_step, batch in enumerate(val_loader, start=1):\n",
    "                images = batch[\"image\"].to(device)\n",
    "                optimizer_g.zero_grad(set_to_none=True)\n",
    "\n",
    "                reconstruction, z_mu, z_sigma = model(images)\n",
    "                # get the first sammple from the first validation batch for visualisation\n",
    "                # purposes\n",
    "                if val_step == 1:\n",
    "                    intermediary_images.append(reconstruction[:n_example_images, 0])\n",
    "\n",
    "                recons_loss = F.l1_loss(reconstruction.float(), images.float())\n",
    "\n",
    "                val_loss += recons_loss.item()\n",
    "\n",
    "        val_loss /= val_step\n",
    "        val_recon_epoch_loss_list.append(val_loss)\n",
    "        msgs = f\"epoch {epoch:d}/{max_epochs:d}: validation recons loss: {val_recon_epoch_loss_list[-1]:4f}\"\n",
    "        print(msgs)\n",
    "\n",
    "print(\"Training finished\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a28c94e3",
   "metadata": {},
   "source": [
    "## Evaluate the training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "066417fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "val_samples = np.linspace(val_interval, max_epochs, int(max_epochs / val_interval))\n",
    "plt.plot(np.linspace(1, max_epochs, max_epochs), epoch_recon_loss_list, label=\"Train\")\n",
    "plt.plot(val_samples, val_recon_epoch_loss_list, label=\"Validation\")\n",
    "plt.xlabel(\"Epochs\")\n",
    "plt.ylabel(\"Loss\")\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "bb1b6dd8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"Adversarial Training Curves\", fontsize=20)\n",
    "plt.plot(np.linspace(1, max_epochs, max_epochs), epoch_gen_loss_list, color=\"C0\", linewidth=2.0, label=\"Generator\")\n",
    "plt.plot(np.linspace(1, max_epochs, max_epochs), epoch_disc_loss_list, color=\"C1\", linewidth=2.0, label=\"Discriminator\")\n",
    "plt.yticks(fontsize=12)\n",
    "plt.xticks(fontsize=12)\n",
    "plt.xlabel(\"Epochs\", fontsize=16)\n",
    "plt.ylabel(\"Loss\", fontsize=16)\n",
    "plt.legend(prop={\"size\": 14})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21bbecae",
   "metadata": {},
   "source": [
    "### Visualise some reconstruction images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "caf2b1e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 15 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# get the first 5 examples to plot\n",
    "n_evaluations = min(5, len(intermediary_images))\n",
    "\n",
    "fig, axs = plt.subplots(nrows=n_evaluations, ncols=3, constrained_layout=True, figsize=(8, 6))\n",
    "if axs.ndim == 1:\n",
    "    axs = axs[None]\n",
    "\n",
    "# Remove ticks\n",
    "for ax in axs.flatten():\n",
    "    ax.set_xticks([])\n",
    "    ax.set_yticks([])\n",
    "\n",
    "for image_n in range(n_evaluations):\n",
    "    axs[image_n, 0].imshow(\n",
    "        intermediary_images[image_n][0, ..., intermediary_images[image_n].shape[3] // 2].cpu(), cmap=\"gray\"\n",
    "    )\n",
    "    axs[image_n, 1].imshow(\n",
    "        intermediary_images[image_n][0, :, intermediary_images[image_n].shape[2] // 2, ...].cpu().rot90(), cmap=\"gray\"\n",
    "    )\n",
    "    axs[image_n, 2].imshow(\n",
    "        intermediary_images[image_n][0, intermediary_images[image_n].shape[1] // 2, ...].cpu().rot90(), cmap=\"gray\"\n",
    "    )\n",
    "    axs[image_n, 0].set_ylabel(f\"Epoch {val_samples[image_n]:.0f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "dd03417f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, ncols=2)\n",
    "ax = ensure_tuple(ax)\n",
    "ax[0].imshow(images[0, channel, ..., images.shape[2] // 2].cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
    "ax[0].axis(\"off\")\n",
    "ax[0].title.set_text(\"Inputted Image\")\n",
    "ax[1].imshow(reconstruction[0, channel, ..., reconstruction.shape[2] // 2].detach().cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
    "ax[1].axis(\"off\")\n",
    "ax[1].title.set_text(\"Reconstruction\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "292506bf",
   "metadata": {},
   "source": [
    "## Clean up data directory\n",
    "\n",
    "Remove directory if a temporary storage was used"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "25551b82",
   "metadata": {},
   "outputs": [],
   "source": [
    "if directory is None:\n",
    "    shutil.rmtree(root_dir)"
   ]
  }
 ],
 "metadata": {
  "jupytext": {
   "formats": "ipynb,py"
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
